The student will study literature on basic stochastic geometry and spatial statistics. He will learn how to deal with three-dimensional data in a form of voxels (3D image analysis). He will develop stochastic models and statistical methods which can be applied in materials research. Simulation algorithms will be developed in order to substitute the true microstructure with virtual data.
Seznam odborné literatury
Dereudre D., Lavancier F. (2011) Practical simulation and estimation for Gibbs Delaunay-Voronoi tessellations with geometric hardcore interaction. Computational Statistics & Data Analysis 55(1), 498-519.
Sedivy O., Brereton T., Westhoff D., Polivka L., Benes V., Schmidt V., Jaeger A. (2016) 3D reconstruction of grains in polycrystalline materials using a tessellation model with curved grain boundaries. Philosophical Magazine, Part A: Materials Science, 96, 18, 1926-1949.
Chiu S.N., Stoyan D., Kendall W.S., Mecke J. (2013) Stochastic Geometry and Its Applications, 3rd Edition. Wiley, New York. ISBN: 978-0-470-66481-0.
Předběžná náplň práce
Doktorand bude členem týmu mezinárodního česko-německého projektu, který školitel řeší na české straně.
Předběžná náplň práce v anglickém jazyce
The student will take part in the team of an international Czech-German project, where the advisor is the principal investigator on the Czech side.